Timing the spinal cord development with neural progenitor cells losing their proliferative capacity: a theoretical analysis.
Manon AzaïsEric AgiusStéphane BlancoAngie MolinaFabienne PituelloJean-Marc TreganAnaïs ValletJacques GautraisPublished in: Neural development (2019)
In the developing neural tube in chicken and mammals, neural stem cells proliferate and differentiate according to a stereotyped spatiotemporal pattern. Several actors have been identified in the control of this process, from tissue-scale morphogens patterning to intrinsic determinants in neural progenitor cells. In a previous study (Bonnet et al. eLife 7, 2018), we have shown that the CDC25B phosphatase promotes the transition from proliferation to differentiation by stimulating neurogenic divisions, suggesting that it acts as a maturating factor for neural progenitors. In this previous study, we set up a mathematical model linking fixed progenitor modes of division to the dynamics of progenitors and differentiated populations. Here, we extend this model over time to propose a complete dynamical picture of this process. We start from the standard paradigm that progenitors are homogeneous and can perform any type of divisions (proliferative division yielding two progenitors, asymmetric neurogenic divisions yielding one progenitor and one neuron, and terminal symmetric divisions yielding two neurons). We calibrate this model using data published by Saade et al. (Cell Reports 4, 2013) about mode of divisions and population dynamics of progenitors/neurons at different developmental stages. Next, we explore the scenarios in which the progenitor population is actually split into two different pools, one of which is composed of cells that have lost the capacity to perform proliferative divisions. The scenario in which asymmetric neurogenic division would induce such a loss of proliferative capacity appears very relevant.
Keyphrases
- spinal cord
- spinal cord injury
- neural stem cells
- induced apoptosis
- signaling pathway
- cell fate
- climate change
- neuropathic pain
- systematic review
- single cell
- machine learning
- big data
- electronic health record
- cell proliferation
- cell death
- cell cycle arrest
- cell therapy
- oxidative stress
- data analysis
- meta analyses
- molecular dynamics
- solid state